Artificial intelligence ISO 42001:2023

ISO/IEC 42001:2023 Information technology Artificial intelligence Management system

Infocerts LLP

ISO/IEC 42001 is an international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations. It is designed for entities providing or utilizing AI-based products or services, ensuring responsible development and use of AI systems.

ISO/IEC 42001 is the world’s first AI management system standard

Duration

24 Hours | 2 Days
Sat-Sun

Training Cost

Examination Body

TUV SUD

Jobs related to CompTIA

Naukri.com

0 +

Monsterindia.com

0 +

Linkedin Jobs

0 +

ISO/IEC 42001:2023 Lead Implementer Objectives

Note 1 to entry: An objective can be strategic, tactical, or operational.

Note 2 to entry: Objectives can relate to different disciplines (such as finance, health and safety, and environment). They can be, for example, organization-wide or specific to a project, product or process (3.8).

Note 3 to entry: An objective can be expressed in other ways, e.g. as an intended result, as a purpose, as an operational criterion, as an AI objective or by the use of other words with similar meaning (e.g. aim, goal, or target).

Note 4 to entry: In the context of AI management systems (3.4), AI objectives are set by the organization (3.1), consistent with the AI policy (3.5), to achieve specific results.

Course Curriculum:

LEAD IMPLEMENTER TRAINING PROGRAM ON ARTIFICIAL INTELLIGENCE MANAGEMENT SYSTEM (AIMS) BASED ON ISO/IEC 42001:2023

Introduction to Artificial Intelligence (AI)
Introduction to Machine Learning (ML)
The concept of data science
AI concepts and terminologies
- Generative AI
- Discriminative AI
Understand how AI becomes disruptive
AI considerations
Regulatory stipulations
Transparency needs
Introduction to ISO/IEC 42001:2023 standard Applicability of the standard
Relationship between Information Security, Data Privacy and AI
Benefits
Responsible use of AI
Efficiency factors
Riskbased approach
Traceability, transparency, and reliability
Clauses and requirements
ISO/IEC 22989:2022 standard – key terms explanation
ISO/IEC 23053:2022 standard
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
ISO/IEC 23894:2023 standard
Artificial intelligence Guidance on risk management
ISO/IEC 42001:2023 Implementation steps
Case studies and exercises

Duration

16hrs Live Online Training

ARTIFICIAL INTELLIGENCE PROFESSIONAL BASED ON ISO42201:2023

Introduction to AI and ML
- Basics of AI and ML
- Examples of AI in daily life and business
- Impact on industries
Need for Systematic AI Approach
- Importance of structured management systems
- Overview of ISO/IEC 42001:2023
- Aligning AI with organizational goals
Key Considerations for AI in Business
- Managing elements in AI integration
- Data quality, bias, and ethical issues
- Ensuring transparency and risk management
Practitioner’s Perspective
- Role of AI practitioners
- Daily management challenges and solutions
- Monitoring performance and risk communication
Case Studies and Insights
- Realworld AI implementation examples
- Lessons learned and group discussions
Q&A and Course Wrapup
- Participant questions
- Key takeaways and next steps for learning

Duration

6hrs Live Online Training

INFOMATION SECURITY AWARENSS WITH AI

Introduction to Information Security and AI
- Key concepts in information security
- AI applications in cybersecurity
- AI’ s role in combating security threats
Common AI-Driven Security Threats
- AI-powered attacks (e.g., phishing, malware, deepfakes)
- Real-world AI-related incidents
- Exploitation of AI by attackers
Using AI for Threat Detection and Response
- AI tools for threat identification and response
- Machine learning basics for anomaly detection
- Automating incident response with AI
Information Security Best Practices with AI
- Data protection enhancement through AI
- Employee roles in securing AI systems
- Monitoring AI models for bias and security risks
Case Studies and Interactive Discussion
- Realworld examples of successful AI applications in information security
- Group discussion on potential AIrelated security scenarios
Q&A and WrapUp
- Participant questions and answers
- Key takeaways and recommendations for further learning

Duration

2hrs Live Online Training

Who should Attend?

Professionals responsible for overseeing and managing AI projects.

Exam Details

EXAM CODE	ITC-096
LAUNCH DATE	February 10, 2024
EXAM DESCRIPTION	The Artificial Intelligence Management System (ISO/IEC 42001) Foundation exam tests the candidate knowledge of the ISO/IEC 42001:2023.
CURRENT VERSION	v1 (February 10, 2024)
EXAM FORMAT	Multiple choice; computer-based; closed book (online proctored exam)
NUMBER OF QUESTIONS	40 questions
PASSING SCORE	70% (28 out of 40)
EXAM DURATION	60 minutes
LEVEL	Foundation
LANGUAGES	English
EXAM DESCRIPTION	This exam includes topics such as Scope of the ISO/IEC 42001, Normative references, Terms and Definitions, Context of the organization (Understanding the organization and its context, Understanding the needs and expectations of interested parties, Determining the scope of the AI management system, and AI management system), Leadership (Leadership and commitment, AI policy, Roles, responsibilities, and authorities), Planning (Actions to address risks and opportunities, AI risk assessment, AI risk treatment, AI system impact assessment, AI objectives and planning to achieve them, Planning of changes), Support (Resources, Competence, Awareness, Communication, and Documented information), Operation (Operational planning and control, AI risk assessment, AI risk treatment, and AI system impact assessment), Performance evaluation (Monitoring, measurement, analysis and evaluation, Internal audit, and Management review), Improvement (Continual improvement and Nonconformity and corrective action), and Annex A (normative) Reference control objectives and controls.
RECOMMENDED HOURS OF STUDY	16 hours
BLOOM’S TAXONOMY	Level 1 (Remembering), Level 2 (Understanding) and Level 3 (Applying)
RECOMMENDED READING	• ISO/IEC 42001:2023 – Information technology – Artificial Intelligence Management System
PREREQUISITES	There are no prerequisites for this certification
RECOMMENDED EXPERIENCE	Six months of work experience in Artificial Intelligence
VALIDITY PERIOD	Lifetime

What You'll Learn

ISO 42001 covers issues throughout the AI system lifecycle, from the initial concept phase to the final deployment and operation of the system. It is designed to help organizations manage the risks associated with AI and ensure that their AI systems are developed and used responsibly.